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Enregistrement W1521545449 · doi:10.22004/ag.econ.18752

JOINT FOREST MANAGEMENT IN INDIA: ASSESSMENT OF PERFORMANCE AND EVALUATION OF IMPACTS

2003· preprint· en· W1521545449 sur OpenAlexfundno aff
Appukuttannair Damodaran, Stefanie Engel

Notice bibliographique

RevueAgEcon Search (University of Minnesota, USA) · 2003
Typepreprint
Langueen
DomaineEnvironmental Science
ThématiqueConservation, Biodiversity, and Resource Management
Établissements canadiensnon disponible
Organismes subventionnairesMinistry of EnvironmentMinistry of Environment and ForestsInternational Development Research Centre
Mots-clésJoint Forest ManagementForest managementContext (archaeology)PaceScope (computer science)Government (linguistics)Certified woodGeographyBusinessCommunity forestryState forestEnvironmental resource managementState (computer science)Environmental planningEnvironmental protectionForestryEconomics

Résumé

récupéré en direct d'OpenAlex

This paper is an attempt to critically survey the movement for Joint Forest Management(JFM) in India. The study commences with a description of the policy context in which Joint Forest Management got initiated in India. It considers the 1980s to have effected a paradigm shift in India's forest policy and legislations. The passage of the Forest Conservation Act in 1980 was followed by a host of measures to unleash a forest conservation movement in India based on local community support. The National Forest Policy of 1988 marked the first effort to set the pace for community participation in forest management. In June 1990, the Government of India issued a circular to give effect to the provisions of the National Forest Policy 1988 in this regard. Joint Forest Management was thus born in India. By the year 2002, JFM covered 140,953 sq kilometers of forest area, which was distributed amongst 63,618 Forest Protection Committees (FPCs) in different States. This was a major achievement, considering the fact that forest management in India has, since 1878, been a bureaucratically driven process. The first chapter also describes the main features of JFM. However, as the paper proceeds to state in Chapter 2, the spread of JFM in India has been uneven in scope and structure. In most of the States, JFM has not even covered degraded forests in their entirety. Nomenclatures and the governing structures of JFM vary from State to State. Indeed, in most States, Forest Protection Committees do not enjoy any legal status and in very many cases they are liable to be disbanded by the Forest Department. Similarly very few FPCs are given primary powers both in terms of rights to frame rules and management plans and exercise of executive and legal functions. These powers continue to be vested with the forest department in a large number of cases. The chapter also assesses the performance of different States in regard to JFM. It adopts the criteria of spatial spread, delegation of powers, and "empowerment" for evaluating the performance of JFM in different States. Where available, field level information regarding the actual functioning of JFM is also adduced to support findings. The chapter notes JFM to be successful in the States of Andhra Pradesh, Haryana, Madhya Pradesh and West Bengal. It further notes that the new States of Jharkhand, Chattisgharh and Uttaranchal have exhibited a keen commitment to JFM, reckoned in terms of forest areas brought under the system in these States. Chapter 3 of the paper provides a diagnosis for the poor performance of JFM. The chapter states that the poor performance of JFM in different areas has also been on account of insufficient "empowerment" and undesirable regulations. Moreover, in many cases JFM has been spurred through externally aided projects. Chapter 4 surveys the principal policy changes that have been brought about more recently (2000-2003), in response to observed problems. The chapter notes the significant strides made by the Government of India to strengthen JFM policies in different States through these policy changes. Providing legal status to Forest Protection Committees, establishing a monitoring cell at the Central Government level, extending JFM to good forest areas and establishing forest development agencies to directly channel funds to the FPCs, have formed the features of policy change in recent times. Chapter 5 advances the methodology of 'PEER' for assessing the functioning and impacts of JFM in India. The chapter states that in the case of JFM, the 'P' element of PEER, which stands for 'philosophy' and 'policy-intent', provides the foundation for the 'EER' ('efficiency' 'effectiveness' and 'ramification') elements. Unfortunately, existing assessments of the JFM implementation process have-by confining their attention to the 'EER' elements-lost sight of the 'policy intent' element. The chapter discusses the significance of approaching JFM from a 'philosophical' or 'policy intent' angle. Conflicts between the objectives of the national and State governments as well as sub-national policy intents can contribute much to understanding the causes of observed inter-State differences in performance. The chapter also mentions the evolving debate regarding corporatization of forest management. It notes that in the context of the economic liberalization process in India, the key philosophical issue before policy is the reconciliation of communitarian ideals with privatization programs underlying the process of economic reforms. The chapter marshals field-level evidence to draw inferences regarding the 'efficiency', 'effectiveness' and 'ramifications' dimensions of JFM in India. Finally, the paper concludes by summarizing the discussions regarding the policy trajectory and politics of JFM in India.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,020
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,002
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,045
Tête enseignante GPT0,262
Écart entre enseignants0,216 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations37
Publié2003
Routes d'admission1
Résumé présentoui

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